This study investigates the temporal brain dynamics in resting-state infant electroencephalography (EEG) by utilizing cortical co-activation patterns (cCAPs). Analyzing data from 49 infants in a longitudinal study, k-means clustering was applied on source level EEG data to reveal cCAPs which had short-lived lifetimes, recurrent and structured transitions, and unique spatial arrangements. These cCAPs described spontaneous brain activity as transitions between states of increasing levels of whole-brain activation. Additionally, the temporal dynamics revealed that the cCAPs representing states of high activation (whole-brain activity above the mean level of activation) were rare, whereas cCAPs representing brain states below the mean level of activation persisted for the majority of the time. Linear mixed effect models (LMEs) were used to examine the effect of infant age. In response to increasing infant age, the occurrence rate increased while the lifetime and normalized magnitude of activation decreased. Interestingly, the high activation cCAPs started off as rare events yet as age increased their occurrence became more common. The temporal and transitional characteristics of identified cCAPs in this study mirror prior results found in adults, indicating, firstly, a developmental continuity in brain activity organization from infancy to adulthood and, secondly, the ability of cCAP-based analysis to detect such continuities. The consistency of these findings across adult and infant age groups and their sensitivity to differences in infant age may prove useful in understanding neurodevelopmental trajectories and identifying biomarkers of typical and atypical infant neuropsychological development.